Automatic human brain MRI volumetric analysis technique using EM-algorithm


Nazari, Mina Rafi and Singh, Yashwant Prasad (2013) Automatic human brain MRI volumetric analysis technique using EM-algorithm. In: 11th IEEE International Symposium on Robotic and Sensors Environments (ROSE). IEEE Xplore, pp. 79-83. ISBN 978-1-4673-2938-5

[img] Text
Automatic Human brain MRI volumetric analysis technique using EM-algorithm.pdf
Restricted to Repository staff only

Download (773kB)


The paper presents automated volumetric analysis of human brain MR images for many applications based on the Expectation-maximization (EM) algorithm. It involves voxel labeling, counting, and calculating tissues volume. The voxel labeling requires the brain magnetic resonance image segmentation which is most commonly performed based on voxels intensity signals. A widely used method for segmentation is by creating a Gaussian Mixture Model (GMM) through the EM algorithm and the same can be used to find the tissues, class label and volumes. The experimental results are provided for volumetric analysis of automated segmentation of male and female subjects as well as normal volumes of tissue classes for verifying correctness of automated volumetric analysis and statistical inference for diagnostic applications.

Item Type: Book Section
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 14 Mar 2014 07:15
Last Modified: 14 Mar 2014 07:15


Downloads per month over past year

View ItemEdit (login required)